Health Profile and
Profitability Analysis
##
## Call:
## lm(formula = Revenue ~ `Average LOS` + Cluster, data = drg_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -25167 -1134 -231 1023 32612
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3581.0 252.9 14.16 < 0.0000000000000002 ***
## `Average LOS` 394.2 52.4 7.53 0.00000000000015 ***
## Cluster 2 3887.7 275.0 14.14 < 0.0000000000000002 ***
## Cluster 3 10759.0 428.9 25.08 < 0.0000000000000002 ***
## Cluster 4 22379.2 571.2 39.18 < 0.0000000000000002 ***
## Cluster 5 55006.3 1381.9 39.80 < 0.0000000000000002 ***
## Cluster 6 150958.7 2566.0 58.83 < 0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3120 on 758 degrees of freedom
## Multiple R-squared: 0.942, Adjusted R-squared: 0.941
## F-statistic: 2.05e+03 on 6 and 758 DF, p-value: <0.0000000000000002